Senior Vice President, Product Engineering

Oaktree is a leader among global investment managers specializing in alternative investments, with over $200 billion in assets under management. The firm emphasizes an opportunistic, value-oriented and risk-controlled approach to investments in credit, private equity, real assets and listed equities.  The firm has over 1400 employees and offices in 25 cities worldwide.

We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.

The Technology department at Oaktree Capital Management delivers secure, scalable, and innovative solutions that power the firm’s global investment and business operations. Through strong partnerships across the company, we drive digital transformation, advance operational efficiency, and provide a trusted data foundation to create measurable impact for Oaktree’s teams, clients, and partners.

For additional information please visit our website at www.oaktreecapital.com

Summary

Oaktree Capital is transforming its technology organization from traditional application development to modern product engineering — a shift that fuses AI, automation, and exceptional engineering culture to deliver institutional-grade investment platforms at scale. The Senior Vice President of Product Engineering will architect and lead this transformation. This leader will define how Oaktree builds, ships, and operates digital products — integrating AI tooling, developer experience, and cultural design (“vibe engineering”) into a unified model of excellence. This role demands a visionary engineering executive who can balance strategic clarity with hands-on technical judgment, and who understands that culture, craft, and intelligence systems must evolve together.

Qualifications

• 15+ years in software engineering, with at least 8 years in senior leadership roles (e.g., VP, SVP, Head of Engineering).
• Proven experience leading enterprise-scale product engineering organizations through transformation or modernization.
• Financial services or fintech background are strongly preferred; experience in investment management, alternative assets, or data-intensive platforms is a plus.
• Track record of engineering operating model design, org structure optimization, and measurable productivity gains.
• Strategic thinker with ability to translate technology direction into clear execution plans.
• Excellent communicator and change agent who can influence C-suite and technical teams alike.
• High EQ and people-first leader who fosters a culture of excellence, collaboration, and continuous learning.
• Deep understanding of modern software architectures (microservices, APIs, cloud-native, event-driven systems).
• Experience with enterprise data platforms, AI/ML integration, and automation frameworks.
• Familiarity with DevOps, cloud (Azure preferred), and modern front/back-end ecosystems (.NET, Python, React, etc.).

Success Measures

• Time-to-market reduction and improved product delivery velocity.
• Increased platform reuse and API adoption across business lines.
• Engineering engagement and retention metrics.
• Measurable business impact from AI and automation adoption.
• Improved system reliability, observability, and security posture.

Responsibilities:

• Lead the transition from project-based delivery to product-centric engineering, embedding agile delivery, DevSecOps, modern SDLC practices, and data-driven decisioning.
• Define the next-generation product architecture and execute the firm’s engineering strategy, emphasizing AI-first, modular architecture, APIs, data interoperability, and cloud-native design.
• Build and scale an AI-augmented engineering ecosystem, leveraging generative AI and intelligent automation to accelerate development, testing, and documentation.
• Design a high-performance operating model where engineering, design, and AI converge to deliver measurable business impact.
• Partner with the Data Science and Platform teams to develop internal AI tooling, including developer copilots, code intelligence platforms, and ML-enabled observability.
• Step into product leadership when needed to shape product strategy, roadmap definition, and stakeholder alignment.
• Act as an executive sponsor for major product initiatives, driving both the technical and strategic dimensions of delivery.
• Translate complex business goals into actionab